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End of training

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  1. README.md +34 -7
  2. generation_config.json +1 -1
README.md CHANGED
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  ---
 
 
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  license: apache-2.0
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  base_model: openai/whisper-small
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  tags:
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  - generated_from_trainer
 
 
 
 
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  model-index:
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- - name: whisper-small-hi
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- results: []
 
 
 
 
 
 
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # whisper-small-hi
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- This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
 
 
 
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  ## Model description
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@@ -38,16 +57,24 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - lr_scheduler_warmup_steps: 10
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- - training_steps: 10
 
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  ### Training results
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  ### Framework versions
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- - Transformers 4.40.0.dev0
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  - Pytorch 2.2.1+cu121
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  - Datasets 2.18.0
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  - Tokenizers 0.15.2
 
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  ---
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+ language:
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+ - en
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  license: apache-2.0
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  base_model: openai/whisper-small
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  tags:
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  - generated_from_trainer
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+ datasets:
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+ - jmcastelo17/FIFA_commentary
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+ metrics:
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+ - wer
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  model-index:
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+ - name: Whisper Small FIFA_commentary
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+ results:
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+ - task:
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+ name: Automatic Speech Recognition
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+ type: automatic-speech-recognition
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+ dataset:
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+ name: FIFA_commentary
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+ type: jmcastelo17/FIFA_commentary
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 24.281150159744406
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # Whisper Small FIFA_commentary
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+ This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the FIFA_commentary dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.3163
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+ - Wer: 24.2812
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 50
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+ - num_epochs: 5
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+ - mixed_precision_training: Native AMP
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|
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+ | 5.3488 | 1.0 | 12 | 4.7962 | 46.0064 |
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+ | 4.6557 | 2.0 | 24 | 3.5938 | 38.9776 |
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+ | 3.5187 | 3.0 | 36 | 2.0149 | 30.6709 |
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+ | 2.2038 | 4.0 | 48 | 1.4935 | 30.0319 |
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+ | 1.0546 | 5.0 | 60 | 1.3163 | 24.2812 |
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  ### Framework versions
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+ - Transformers 4.39.3
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  - Pytorch 2.2.1+cu121
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  - Datasets 2.18.0
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  - Tokenizers 0.15.2
generation_config.json CHANGED
@@ -252,5 +252,5 @@
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  "transcribe": 50359,
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  "translate": 50358
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  },
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- "transformers_version": "4.40.0.dev0"
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  }
 
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  "transcribe": 50359,
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  "translate": 50358
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  },
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+ "transformers_version": "4.39.3"
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  }